Jack Clark
Tetragrammaton with Rick Rubin
00:00
The Evolution of Neural Networks
This chapter explores the historical origins and advancements of neural networks, beginning with post-World War II research and pivotal events like the Dartmouth Conference. It highlights key milestones, such as the ImageNet competition, that propelled deep learning into mainstream applications, while also discussing the initial skepticism surrounding AI's potential for general intelligence. The chapter further examines the intricacies of neural networks, comparing their operations to human cognitive processes and suggesting the need for a new language to describe these technological innovations.
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